Instructions to use superwhisper/s1-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use superwhisper/s1-mini with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="superwhisper/s1-mini")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("superwhisper/s1-mini")
model = AutoModelForCausalLM.from_pretrained("superwhisper/s1-mini", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use superwhisper/s1-mini with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "superwhisper/s1-mini"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "superwhisper/s1-mini",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/superwhisper/s1-mini

SGLang

How to use superwhisper/s1-mini with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "superwhisper/s1-mini" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "superwhisper/s1-mini",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "superwhisper/s1-mini" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "superwhisper/s1-mini",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use superwhisper/s1-mini with Docker Model Runner:
```
docker model run hf.co/superwhisper/s1-mini
```

Softmaximalist commited on about 24 hours ago

Commit

88f6b15

1 Parent(s): ae016a2

Modify license to make it detailed

Browse files

Files changed (3) hide show

LICENSE +5 -0
NOTICE +11 -0
README.md +6 -5

LICENSE CHANGED Viewed

@@ -1,3 +1,8 @@
                                  Apache License
                            Version 2.0, January 2004
                         http://www.apache.org/licenses/

+Copyright 2026 Superwhisper
+This model is a derivative work of Qwen3-0.6B, Copyright 2024 Alibaba Cloud,
+licensed under the Apache License, Version 2.0.
                                  Apache License
                            Version 2.0, January 2004
                         http://www.apache.org/licenses/

NOTICE ADDED Viewed

	@@ -0,0 +1,11 @@

+S1-mini
+Copyright 2026 Superwhisper
+This work is a derivative of Qwen3-0.6B, Copyright 2024 Alibaba Cloud,
+licensed under the Apache License, Version 2.0.
+Any use, distribution, or integration of this model, whether unmodified or
+as part of a derivative work or product, must continue to identify it by its
+original name, "S1-mini" by "Superwhisper", using that exact capitalization.
+This restates the ADDITIONAL TERM of the LICENSE file, which is the
+operative text.

README.md CHANGED Viewed

@@ -65,7 +65,7 @@ Releases are tagged, so you can pin one:
 | Precision | BF16 |
 | Recommended input | Up to ~1,000 tokens; chunk longer transcripts |
 | Language | English |
-| License | Apache 2.0 + naming clause ([LICENSE](LICENSE)) |
 > [!NOTE]
 > The Hub sidebar reports 0.8B parameters for this repo. `config.json` sets
@@ -375,9 +375,9 @@ in any integration are the input format documented above and the thinking
 flag; nearly every integration bug traces back to one of those.
 > [!IMPORTANT]
-> Read the [LICENSE](LICENSE) before you ship. Apache 2.0 is permissive but
-> not obligation-free: you must retain the license text and attribution
-> notices, and state significant changes if you redistribute a modified
 > version. It also carries one additional term: the model must keep its
 > name, "S1-mini" by "Superwhisper", with that exact capitalization,
 > wherever it's used. If you are bundling S1-mini into a commercial
@@ -388,7 +388,8 @@ flag; nearly every integration bug traces back to one of those.
 S1-mini is released under Apache 2.0, which it inherits from Qwen3-0.6B, plus
 one additional term: wherever it's used, it must keep its name, "S1-mini" by
-"Superwhisper", with that exact capitalization. See [LICENSE](LICENSE).
 ## Citation

 | Precision | BF16 |
 | Recommended input | Up to ~1,000 tokens; chunk longer transcripts |
 | Language | English |
+| License | Apache 2.0 + naming clause ([LICENSE](https://huggingface.co/superwhisper/s1-mini/blob/main/LICENSE)) |
 > [!NOTE]
 > The Hub sidebar reports 0.8B parameters for this repo. `config.json` sets
 flag; nearly every integration bug traces back to one of those.
 > [!IMPORTANT]
+> Read the [LICENSE](https://huggingface.co/superwhisper/s1-mini/blob/main/LICENSE) before you ship. Apache 2.0 is permissive but
+> not obligation-free: you must retain the license text and the NOTICE
+> file, and state significant changes if you redistribute a modified
 > version. It also carries one additional term: the model must keep its
 > name, "S1-mini" by "Superwhisper", with that exact capitalization,
 > wherever it's used. If you are bundling S1-mini into a commercial
 S1-mini is released under Apache 2.0, which it inherits from Qwen3-0.6B, plus
 one additional term: wherever it's used, it must keep its name, "S1-mini" by
+"Superwhisper", with that exact capitalization. See
+[LICENSE](https://huggingface.co/superwhisper/s1-mini/blob/main/LICENSE) and [NOTICE](https://huggingface.co/superwhisper/s1-mini/blob/main/NOTICE).
 ## Citation